Tilly'S (TLYS) Non Operating Interest Expenses (2011 - 2013)
Tilly'S's Non Operating Interest Expenses came in at $49,000 for fiscal Q1 2014 (quarter ended May 4, 2013), up 11.4% from $44,000 a year earlier and up 8.9% from the prior quarter.
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Analysis
Tilly'S (TLYS) Non Operating Interest Expenses (2011 - 2013) Analysis & Trends
Over the trailing twelve months to May 4, 2013, Tilly'S reported Non Operating Interest Expenses of $180,000, down 7.2% year-over-year; for FY2013 (ended Feb 2, 2013), it was $91,000, down 53.6% from FY2012.
- Going back by fiscal year, Non Operating Interest Expenses was $196,000 in FY2012 (-21.3%) and $249,000 in FY2011.
- The fiscal Q1 2014 figure represents the highest quarterly Non Operating Interest Expenses since fiscal Q4 2012.
- Year-over-year, Non Operating Interest Expenses increased in 1 of the last four quarters, with an average decline of 6.6%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 1.69 Bn |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 583.00 Mn |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | - |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 98.00 Mn |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | - |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | 98.00 Mn |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | 81.85 Mn |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | - |
| 10 | Tilly'S | 124.34 Mn | -64.33 Mn | 58.10 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 4, 2013 | 49,000.00 |
| Feb 2, 2013 | 45,000.00 |
| Oct 27, 2012 | 42,000.00 |
| Apr 28, 2012 | 44,000.00 |
| Jan 28, 2012 | 52,000.00 |
| Oct 29, 2011 | 49,000.00 |
| Apr 30, 2011 | 49,000.00 |
API Access
Tilly'S Non Operating Interest Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=TLYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "TLYS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=TLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();